Harnessing Digital Transformation with AI to Improve the Teaching and Learning of English as Second Language in Nigeria

Author:

Ahmed Umar

Abstract

The integration of technology and artificial intelligence (AI) has revolutionized various sectors, including education, particularly in English as a Second Language (ESL) learning. In Nigeria, where English is the official language for education and commerce, proficiency in English is crucial for academic and professional success. However, traditional ESL teaching methods often fail to meet the diverse linguistic and cultural needs of Nigerian learners, resulting in varying proficiency levels. This paper explores the potential of digital transformation and AI to enhance ESL teaching and learning in Nigeria. AI-driven tools offer personalized learning experiences, adaptive assessments, and interactive content, while digital transformation facilitates access to quality educational resources and inclusive learning environments. The study highlights key opportunities, such as personalized learning, increased engagement, and improved assessment, while also addressing challenges like technological barriers, teacher training, and cultural diversity. Recommendations include investing in digital infrastructure, developing teacher training programs, and ensuring ethical data practices. Future research should evaluate AI's long-term impact on ESL education in Nigeria and refine technologies to better meet diverse student needs. This study contributes to the discourse on innovative language teaching approaches in the digital age, offering insights that extend beyond Nigeria's borders.

Publisher

African - British Journals

Reference19 articles.

1. Banjo, A. (2017). English language education in Nigeria: Challenges and prospects. Journal of Language and Linguistic Studies, 13(2), 1-14.

2. Chapelle, C. A., & Sauro, S. (2017). Technology and second language acquisition. Cambridge University Press.

3. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

4. Dzikovska, M., Brew, C., & Meurers, D. (2012). Natural language processing for intelligent computer-assisted language learning. Language Learning & Technology, 16(2), 1-19.

5. Ellis, R. (2010). Second language acquisition: An introductory reader. Routledge.

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